Mistral AI trains its AI models using datasets from third parties and publicly available internet data, which may contain your personal information even after filtering attempts.
This analysis describes what Mistral AI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The provision establishes transparency regarding data sources used in model training and acknowledges that personal data may be present in training datasets despite filtration practices. This disclosure defines the scope of data processing activities that support the organization's core operations.
Personal data about you that exists publicly online — such as on social media, news articles, or public records — may have been used to train Mistral AI's models, and there is no guarantee it was successfully filtered out despite stated efforts.
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"Training Datasets. In some cases, we access datasets provided by third parties for our model training purposes. These datasets may include personal data (even if such third parties and Mistral AI use good practices to filter out such personal data), proprietary data, or public data. [...] Data publicly available on the Internet. Our artificial intelligence models are trained on data that is publicly available on the Internet by third parties, which may contain personal data, even if we use good practices to filter out such personal data.— Excerpt from Mistral AI's Mistral AI Privacy Policy
(1) REGULATORY FRAMEWORK: This provision implicates GDPR Art. 14 (transparency obligations for data collected from third parties), Art. 6 (lawful basis for training data processing), and Art. 17 (right to erasure from training datasets — a practically complex right). The EU AI Act (Regulation 2024/1689) Art. 53 imposes specific transparency and documentation obligations on general-purpose AI model providers regarding training data, including copyright and personal data governance documentation. The CNIL's 2024 framework on AI and personal data is directly applicable. (2)
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The provision establishes transparency regarding data sources used in model training and acknowledges that personal data may be present in training datasets despite filtration practices. This disclosure defines the scope of data processing activities that support the organization's core operations.
Personal data about you that exists publicly online — such as on social media, news articles, or public records — may have been used to train Mistral AI's models, and there is no guarantee it was successfully filtered out despite stated efforts.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Mistral AI.